Global Patent Index - EP 3335842 A4

EP 3335842 A4 20181024 - INDUSTRIAL ROBOT PROCESS CLOUD SYSTEM AND WORKING METHOD THEREFOR

Title (en)

INDUSTRIAL ROBOT PROCESS CLOUD SYSTEM AND WORKING METHOD THEREFOR

Title (de)

CLOUD-SYSTEM FÜR INDUSTRIEROBOTERPROZESS UND ARBEITSVERFAHREN DAFÜR

Title (fr)

SYSTÈME DE NUAGE DE TRAITEMENT DE ROBOT INDUSTRIEL ET PROCÉDÉ DE TRAVAIL POUR CE DERNIER

Publication

EP 3335842 A4 20181024 (EN)

Application

EP 16854835 A 20160825

Priority

  • CN 201510662081 A 20151012
  • CN 2016096742 W 20160825

Abstract (en)

[origin: EP3335842A1] The present invention relates to an industrial robot process cloud system and a working method thereof. The industrial robot process cloud system comprises an industrial robot control system integrated with a human machine interaction layer HMI, a motion planning control layer Motion and a servo loop control layer Servo, and further comprises a cloud server, wherein the cloud server comprises a process expert system. The human machine interaction layer HMI and the motion planning control layer Motion realize data interaction with the cloud server by means of a network, after the human machine interaction layer HMI inputs operation information, the operation information is transmitted to the cloud server, and a specific robot operation program is generated and downloaded into the industrial robot control system by means of the network. The present invention realizes cloud processing performed to process experiences on various operation types of industrial robots, the process expert system is formed, data interaction and real-time evolution learning of the process expert system are realized by means of the network, the user can conveniently call in real time the robot process program which best satisfies actual requirements and the changeover production efficiency is improved.

IPC 8 full level

B25J 9/16 (2006.01); G05B 19/418 (2006.01); H04L 29/06 (2006.01)

CPC (source: CN EP US)

B25J 9/16 (2013.01 - EP US); B25J 9/161 (2013.01 - US); B25J 9/163 (2013.01 - EP US); B25J 9/1656 (2013.01 - CN EP US); G05B 19/418 (2013.01 - EP US); G05B 19/4183 (2013.01 - US); G05B 19/41855 (2013.01 - EP US); G05B 19/4186 (2013.01 - US); G05B 19/41865 (2013.01 - US); H04L 9/40 (2022.05 - EP US); G05B 2219/31422 (2013.01 - EP US); G05B 2219/40383 (2013.01 - EP US); Y02P 90/02 (2015.11 - EP US)

Citation (search report)

  • [XI] EP 2835232 A1 20150211 - YASKAWA DENKI SEISAKUSHO KK [JP]
  • [I] US 6654666 B1 20031125 - TERADA TOMOYUKI [JP]
  • [A] US 2013261796 A1 20131003 - PARK HONG SEONG [KR]
  • [A] US 2008147228 A1 20080619 - FENNER JOEL S [US], et al
  • [A] KEHOE BEN ET AL: "A Survey of Research on Cloud Robotics and Automation", IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, IEEE SERVICE CENTER, NEW YORK, NY, US, vol. 12, no. 2, 1 April 2015 (2015-04-01), pages 398 - 409, XP011577506, ISSN: 1545-5955, [retrieved on 20150403], DOI: 10.1109/TASE.2014.2376492
  • See references of WO 2017063453A1

Designated contracting state (EPC)

AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

Designated extension state (EPC)

BA ME

DOCDB simple family (publication)

EP 3335842 A1 20180620; EP 3335842 A4 20181024; CN 105215987 A 20160106; CN 105215987 B 20170322; JP 2018530829 A 20181018; JP 6615331 B2 20191204; US 11119470 B2 20210914; US 2018210432 A1 20180726; WO 2017063453 A1 20170420

DOCDB simple family (application)

EP 16854835 A 20160825; CN 201510662081 A 20151012; CN 2016096742 W 20160825; JP 2018516032 A 20160825; US 201615744979 A 20160825